Utility of biocontrol agents in the suppression of seed borne pathogenic mycoflora and their effect on seed quality in sorghum (<i>Sorghum bicolor</i>(L.) Moench)

Indira, S.; Muthusubramanian, V.; Tonapi, Vilas A.; Varanavasiappan, S.; Seetharama, N.

doi:10.1080/03235400500301158

Cited by 4 publications

(2 citation statements)

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“…Grain mold resistance is complex as it involves many fungi (Williams and Rao, 1981 ) and is governed by many traits (Ambekar et al, 2011 ). Several management strategies, such as fungicide application, chemical and physical treatments, and the adaptation of tolerant varieties, were tried to control grain mold infection (Navi et al, 2002 ; Indira et al, 2006 ). Among all methods, the use of resistant varieties is cost-effective and ecofriendly to control grain mold (Mofokeng et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Development of Sorghum Genotypes for Improved Yield and Resistance to Grain Mold Using Population Breeding Approach

et al. 2021

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The infection caused by grain mold in rainy season grown sorghum deteriorates the physical and chemical quality of the grain, which causes a reduction in grain size, blackening, and making them unfit for human consumption. Therefore, the breeding for grain mold resistance has become a necessity. Pedigree breeding has been widely used across the globe to tackle the problem of grain mold. In the present study, a population breeding approach was employed to develop genotypes resistant to grain mold. The complex genotype × environment interactions (GEIs) make the task of identifying stable grain mold-resistant lines with good grain yield (GY) challenging. In this study, the performance of the 33 population breeding derivatives selected from the four-location evaluation of 150 genotypes in 2017 was in turn evaluated over four locations during the rainy season of 2018. The Genotype plus genotype-by-environment interaction (GGE) biplot analysis was used to analyze a significant GEI observed for GY, grain mold resistance, and all other associated traits. For GY, the location explained a higher proportion of variation (51.7%) while genotype (G) × location (L) contributed to 21.9% and the genotype contributed to 11.2% of the total variation. For grain mold resistance, G × L contributed to a higher proportion of variation (30.7%). A graphical biplot approach helped in identifying promising genotypes for GY and grain mold resistance. Among the test locations, Dharwad was an ideal location for both GY and grain mold resistance. The test locations were partitioned into three clusters for GY and two clusters for grain mold resistance through a “which-won-where” study. Best genotypes in each of these clusters were selected. The breeding for a specific cluster is suggested. Genotype-by-trait biplots indicated that GY is influenced by flowering time, 100-grain weight (HGW), and plant height (PH), whereas grain mold resistance is influenced by glume coverage and PH. Because GY and grain mold score were independent of each other, there is a scope to improve both yield and resistance together.

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Section: Introductionmentioning

confidence: 99%

Development of Sorghum Genotypes for Improved Yield and Resistance to Grain Mold Using Population Breeding Approach

et al. 2021

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“…Uses of antagonistic microbes to control the fungal pathogens were reported by various workers (Jos et al, 1995;Omar and Abd Alla, 1998;Sharma et al, 1995). Indira et al (2006) found 86.6% seed germination and 2478.47 seedling vigour index in seed treatment with Trichoderma viride in sorghum. Similarly, Rajeswari and Kumari (2009) observed that seed treatment with Trichoderma viride @ 6 g kg -1 gave significant increase in germination 91.00% and seedling vigour index (2601) in soybean.…”

Section: Management Of Seed Borne Fungi By Means Of Bio -Agentsmentioning

confidence: 91%

Efficacy of Bio-agents and Phyto-Extracts against Seed Borne Mycoflora of Soybean (Glycine max L.)

Khodifad¹,

Sharma²

2022

IJEP

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The present study was aimed to detect and identify seed borne fungi associated with soybean seeds and subsequently determining their effect on seed germination and seedling growth. Seed mycoflora associated with soybean were detected by using agar plate and standard blotter paper method. A total of six fungal species comprising three genera i.e., Aspergillus flavus, Aspergillus niger, Aspergillus versicolor, Fusarium oxysporum, Fusarium pallidoroseum and Macrophomina sp. were isolated from soybean seed. Among these, Fusarium pallidoroseum and Aspergillus flavus were found to be the most prevalent causing considerable reduction in seed germination and seedling growth as compared to control. The effect of different bio-agents and phyto-extracts on seed mycoflora, seed germination and vigour index were evaluated. Trichoderma viride and Dhatura leaf extract were found to enhance seed germination, shoot length, root length and vigour index as compared to control.

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Development of sorghum hybrids for stable yield and resistance to grain mold for the Center and South-East of Senegal

et al. 2019

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Utility of biocontrol agents in the suppression of seed borne pathogenic mycoflora and their effect on seed quality in sorghum (Sorghum bicolor(L.) Moench)

Cited by 4 publications

References 10 publications

Development of Sorghum Genotypes for Improved Yield and Resistance to Grain Mold Using Population Breeding Approach

Development of Sorghum Genotypes for Improved Yield and Resistance to Grain Mold Using Population Breeding Approach

Efficacy of Bio-agents and Phyto-Extracts against Seed Borne Mycoflora of Soybean (Glycine max L.)

Development of sorghum hybrids for stable yield and resistance to grain mold for the Center and South-East of Senegal

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